Solution Architect - Generative Ai

AIRBUS DS GEO SA

Bengaluru, India
Generative ai ecosystem design
Retrieval-augmented generation (rag) pipelines
Ai model selection (llms, slms, multi-modal)
You will design the blueprints for our AI ecosystem—selecting models, designing RAG (Retrieval-Augmented Generation) pipelines, and ensuring our AI initiatives are scalable and ethical

Job Summary

  • You will design the blueprints for our AI ecosystem—selecting models, designing RAG (Retrieval-Augmented Generation) pipelines, and ensuring our AI initiatives are scalable and ethical.
  • Implement "AI Guardrails" to manage hallucination, data leakage, and prompt injection risks.
  • At Airbus, we support you to work, connect and collaborate more easily and flexibly.

Matching Summary

You will design the blueprints for our AI ecosystem—selecting models, designing RAG (Retrieval-Augmented Generation) pipelines, and ensuring our AI initiatives are scalable and ethical.

Skills & Requirements

Must-have

  • Generative AI ecosystem design
  • Retrieval-Augmented Generation (RAG) pipelines
  • AI model selection (LLMs, SLMs, Multi-modal)
  • Vector database orchestration
  • High-performance inference pipelines
  • AI Guardrails implementation
  • Cost optimization for AI solutions

Nice-to-have

  • Scalable and ethical AI initiatives
  • Flexible working arrangements
  • Commitment to workforce diversity

Key Requirements

  • 3+ years as Solution Architect with AI/ML exposure
  • Expertise in LangChain
  • Hands-on experience with Gemini, Anthropic (Claude), Open Source models
  • Proficiency with Graph & Vector DBs
  • Strong Python skills
  • Experience with FastAPI or Flask
  • Experience with AWS Bedrock and Google Vertex AI
  • Solid understanding of SDLC, Agile, and DevOps
  • Experience with Docker, Kubernetes

Work Rights

Not specified

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